16 citations · 33 across the 17 of their papers we have counts for
3 papers · 1 filter
Projecting Embeddings for Domain Adaptation: Joint Modeling of Sentiment Analysis in Diverse Domains
Jeremy Barnes, Roman Klinger, Sabine Schulte im Walde
Domain adaptation for sentiment analysis is challenging due to the fact that supervised classifiers are very sensitive to changes in domain. The two most prominent approaches to th…
Bilingual Sentiment Embeddings: Joint Projection of Sentiment Across Languages
Jeremy Barnes, Roman Klinger, Sabine Schulte im Walde
Sentiment analysis in low-resource languages suffers from a lack of annotated corpora to estimate high-performing models. Machine translation and bilingual word embeddings provide…
MultiBooked: A Corpus of Basque and Catalan Hotel Reviews Annotated for Aspect-level Sentiment Classification
Jeremy Barnes, Patrik Lambert, Toni Badia
While sentiment analysis has become an established field in the NLP community, research into languages other than English has been hindered by the lack of resources. Although much…